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Category: ARTIFICIAL INTELLIGENCE

The use of AI in global banking is estimated to grow from a $41.1 billion business to $300 billion by 2030. There is a long list of US-based FinTech companies leveraging AI, which are at the forefront of this growth story. Here is a list of 21 such exciting startups well-known for their AI tech:

Google’s mission is to organize the world’s information and make it accessible and useful. Google has made a lot of progress on the first half of that mission statement—it may have access to more data than any other company on the planet. But making the information more useful will require software that understands the information in a more sophisticated way—which is exactly what machine learning technology could do. At I/O this week, Google sent a …

The platform supports both batch and streaming data ingestion. Google’s cloud storage or Big Query can be used to store the training data, and the built-in data-labeling service can be used for labeling. Platform users can then use existing classification, object recognition, or entity-extraction models, or import the labeled data to AutoML to train a custom model.

Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly mainstream. The reason for this is because when applied in an organisational context effectively they can significantly enhance business outcomes. Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning.

Media coverage of artificial intelligence tends to be either euphoric or alarming. In the first variant, AI is presented as a divine technology that will solve all our problems, from curing cancer to ending global warming. In the latter, Frankenstein- or Terminator-inspired narratives depict AI as a technology that we cannot keep under control and that will be out-smarting humans in ways we cannot foresee – killing our jobs, if not threatening the survival of …

ONE AFTERNOON in August 2010, in a conference hall perched on the edge of San Francisco Bay, a 34-year-old Londoner called Demis Hassabis took to the stage. Walking to the podium with the deliberate gait of a man trying to control his nerves, he pursed his lips into a brief smile and began to speak: “So today I’m going to be talking about different approaches to building…” He stalled, as though just realising that he …

As with all emerging technological trends, some elements of artificial intelligence (AI) are hyped out of proportion, some elements are ahead of their time and some even incite fear. However, there remains some truth beneath the hype, cycles and buzzwords. Advancements in AI stand to benefit the energy sector but come with own limitations and practical concerns.

The first wave, which was nearly 70 years ago, emphasized handcrafted knowledge, and computer scientists constructed so-called expert systems that captured the rules that the system could then apply to situations of interest. However, handcrafting rules was costly and time-consuming. The second wave that brought in machine learning that applies statistical and probabilistic methods to large data sets to create generalized representations that can be applied to future samples. However, this required training deep learning (artificial) neural networks with …

Stanford University is launching a new institute committed to studying, guiding and developing human-centered artificial intelligence technologies and applications. The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is building on a tradition of leadership in artificial intelligence at the university, as well as a focus on multidisciplinary collaboration and diversity of thought. The mission of the institute is to advance artificial intelligence (AI) research, education, policy and practice to improve the human condition.

The basic retail experience hasn’t changed much over the years: go into a store, look for the right product and make a purchase. Artificial intelligence has the potential to completely transform the traditional retail experience and take it to the next level with personalization, automation and increased efficiency. ?And it’s already happening! Here are 20 of the best examples of AI to improve the retail experience.

No human, or team of humans, could possibly keep up with the avalanche of information produced by many of today’s physics and astronomy experiments. Some of them record terabytes of data every day — and the torrent is only increasing. The Square Kilometer Array, a radio telescope slated to switch on in the mid-2020s, will generate about as much data traffic each year as the entire internet. The deluge has many scientists turning to artificial …

The great rivalry of the 20th century, at least from the America perspective, was between the United States and the Soviet Union. Geopolitical chroniclers see the great rivalry of the 21st century as between the U.S. and China. In the nine months between his inauguration and 9/11, President George W. Bush advanced the idea of China as America’s peer competitor. President Barack Obama executed the “pivot to Asia,” based on the argument that, while the …

If you want to learn how to build artificial intelligence systems, the first step is simple: forget all about artificial intelligence. Instead focus your attention on machine learning. That way, you can be sure you’re in the domain of the practical rather than the domain of hype.

Looking forward to 2019 as exciting as it can get for technology, in particular for the broader umbrella of Artificial Intelligence, with chips getting faster and cheaper than ever, and the remotest places and people getting connected to the internet. While anyone would be hardly oblivious to the term AI unless one is absolutely living in a den, we have been consuming the outcomes of AI through many applications and systems we use on a …

Calculus gives you all these nice equations for how to calculate a series of changes across infinitesimal steps—in other words, it saves you from the nightmare of modeling continuous change in discrete units. This is the magic of Duvenaud and his collaborators’ paper: it replaces the layers with calculus equations.

Digital Transformation is a new revolutionary movement sweeping across many industries, but banking as a sector is particularly impacted. Artificial Intelligence (AI) is a key driver in digital transformation. This article will give you a summarised perspective on the impact of AI in banking.

Artificial intelligence will reshape the world of finance over the next decade or so by automating investing and other services—but it could also introduce troubling systematic weaknesses and risks, according to a new report from the World Economic Forum (WEF).

“It’s the first time that an autonomous industrial control system will be deployed at this scale, to the best of our knowledge,” says Mustafa Suleyman, head of applied AI at DeepMind, the London-based artificial-intelligence company Google acquired in 2014.